在您阅读了hdfs源代码并将数据输入 rdd ，您可以尝试以下操作：

import org.apache.spark.rdd.RDD
import org.apache.spark.graphx.Edge
// Sample data
val rdd = sc.parallelize(Seq("1: 1, 2, 3", "2: 2, 3"))

val edges: RDD[Edge[Int]] = rdd.flatMap {
  row => 
    // split around ":"
    val splitted = row.split(":").map(_.trim)
    // the value to the left of ":" is the source vertex:
    val srcVertex = splitted(0).toLong
    // for the values to the right of ":", we split around "," to get the other vertices
    val otherVertices = splitted(1).split(",").map(_.trim)
    // for each vertex to the right of ":", we create an Edge object connecting them to the srcVertex:
    otherVertices.map(v => Edge(srcVertex, v.toLong, 1))
}

编辑
此外，如果顶点具有恒定的默认权重，则可以直接从边创建图形，因此无需创建verticesrdd：

import org.apache.spark.graphx.Graph
val g = Graph.fromEdges(edges, defaultValue = 1)